Growth Opportunities of Generative AI For Healthcare

Growth Opportunities of Generative AI For Healthcare

Emerging Applications in Drug Discovery and Development, Medical Imaging Analysis, Digital Twins, Synthetic Data, Electronic Health Record Management, and Virtual Assistants

RELEASE DATE
06-Dec-2023
REGION
North America
Research Code: DAC3-01-00-00-00
SKU: HC_2023_374
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Description

The application of Generative AI (Gen AI) in healthcare is a rapidly growing field. In recent years, emerging applications in drug discovery and development, medical imaging analysis, digital twins, synthetic data, and electronic health records management, and virtual assistants have garnered significant interest thanks to their potential to revolutionize the field. This creates a promising opportunity for technology developers—such as software companies and startups—in the healthcare industry to center their R&D activities on these emerging technologies for their product development.

This report’s scope of analysis for emerging applications is multifaceted and involves considerations across technical, clinical decision support, safety, and economic domains. The primary focus of the study is to identify the emerging gap areas being adopted across the healthcare industry that will surpass conventional care methodologies.

With top-tier software companies positioning themselves as technology developers and Gen AI startups focusing on small but crucial aspects toward reducing the clinical burden and providing efficient clinical decision support systems and their collaborations, this study will delve into the potential benefits and outcomes, highlighting prospective and corresponding stakeholders in the competitive industry, and the evolution of generative AI across drugs, diagnostics, and treatment planning in the next five years.

Questions that this report answers:

1. What are the growth drivers and restraints of Gen AI in healthcare?
2. What are the types of models and benefits of Gen AI in drug discovery and development, medical imaging analysis, digital twins, synthetic data, electronic health record management, and virtual assistants?
3. What are the key companies to action in the Gen AI healthcare industry?
4. What are key collaborations and funding in the industry?
5. What are the key Gen AI regulations?

Table of Contents

Why Is It Increasingly Difficult to Grow?The Strategic Imperative 8™: Factors Creating Pressure on Growth

The Strategic Imperative 8™

The Impact of the Top 3 Strategic Imperatives on the Generative Artificial Intelligence Industry

Growth Opportunities Fuel the Growth Pipeline Engine™

Research Methodology

The Evolution of Gen AI: Then and Now

Emerging Roles of Gen AI in Medicine to Incorporate the Multimodal Approach

Implementing Multimodal Generative AI on Healthcare Data

Various Facets of the Healthcare Industry That Employ Gen AI

Applications of Gen AI in Healthcare: Scope

Applications of Gen AI in Healthcare: Segmentation

Growth Drivers

Growth Restraints

Gen AI for Drug Discovery and Development

Gen AI for Drug Discovery and Development (continued)

Gen AI for Medical Image Analysis

Gen AI for Medical Image Analysis (continued)

Gen AI for Synthetic Data and Digital Twin Creation

Gen AI for Synthetic Data and Digital Twin Creation (continued)

Gen AI for Managing EHRs and Virtual Assistants

Gen AI for Managing EHRs and Virtual Assistants (continued)

Company Insights for Gen AI in Healthcare: A Snapshot

Industry Snapshot

Industry Snapshot (continued)

Gen AI in Healthcare: Tech Adoption versus Tech Maturity

Collaboration for Developing Gen AI and Cloud Computing Infrastructure

Collaboration for Developing Gen AI and Cloud Computing Infrastructure (continued)

Pharmaceutical Companies Significantly Funding Gen AI-based Platform Development for Drug Discovery

In-hospital Enterprises Significantly Funding the Emerging Market of Healthcare LLMs

Geographical Distribution of Organizations in Healthcare Gen AI

Overview of Gen AI Regulations in a Few Prominent Countries

Growth Opportunity 1: Lighter Clouds to Implement Gen AI in Real Time

Growth Opportunity 1: Lighter Clouds to Implement Gen AI in Real Time (continued)

Growth Opportunity 2: Synthetic Data Creation for Virtual Clinical Trials

Growth Opportunity 2: Synthetic Data Creation for Virtual Clinical Trials (continued)

Growth Opportunity 3: Healthcare Interoperability Essential to Implement Generative AI

Growth Opportunity 3: Healthcare Interoperability Essential to Implement Gen AI (continued)

Technology Readiness Levels (TRL): Explanation

Your Next Steps

Why Frost, Why Now?

Legal Disclaimer

The application of Generative AI (Gen AI) in healthcare is a rapidly growing field. In recent years, emerging applications in drug discovery and development, medical imaging analysis, digital twins, synthetic data, and electronic health records management, and virtual assistants have garnered significant interest thanks to their potential to revolutionize the field. This creates a promising opportunity for technology developers such as software companies and startups in the healthcare industry to center their R&D activities on these emerging technologies for their product development. This report s scope of analysis for emerging applications is multifaceted and involves considerations across technical, clinical decision support, safety, and economic domains. The primary focus of the study is to identify the emerging gap areas being adopted across the healthcare industry that will surpass conventional care methodologies. With top-tier software companies positioning themselves as technology developers and Gen AI startups focusing on small but crucial aspects toward reducing the clinical burden and providing efficient clinical decision support systems and their collaborations, this study will delve into the potential benefits and outcomes, highlighting prospective and corresponding stakeholders in the competitive industry, and the evolution of generative AI across drugs, diagnostics, and treatment planning in the next five years. Questions that this report answers: 1. What are the growth drivers and restraints of Gen AI in healthcare? 2. What are the types of models and benefits of Gen AI in drug discovery and development, medical imaging analysis, digital twins, synthetic data, electronic health record management, and virtual assistants? 3. What are the key companies to action in the Gen AI healthcare industry? 4. What are key collaborations and funding in the industry? 5. What are the key Gen AI regulations?
More Information
Author Swati Mishra
Industries Healthcare
No Index No
Is Prebook No
Podcast No
WIP Number DAC3-01-00-00-00